[D] got tired of "just vibes" testing for edge ML models, so I built automated quality gates

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so about 6 months ago I was messing around with a vision model on a Snapdragon device as a side project. worked great on my laptop. deployed to actual hardware and latency had randomly jumped 40% after a tiny preprocessing change. the kicker? I only caught it because I was obsessively re-running benchmarks between changes. if I hadn't been that paranoid, it would've just shipped broken. and that's basically the state of ML deployment to edge devices right now. we've got CI/CD for code — linti...